Coreference resolution for capture of events

The algorithm (proposed by Raghunathan et al. 2010) sequentially performs a series of pass of recognition, and allows to go incrementally proposing candidates to coreferenced between namedentities in the text. The article briefly presents the work of adapting the algorithm Stanford Multi Pass Sieve...

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Autores principales: Cantamutto, Lucía, Buján, David, Abaitua, Joseba, Díaz Labrador, Jesús Luis, Bermúdez, Josu
Formato: Artículo revista
Lenguaje:Español
Publicado: Centro Universitario Regional Zona Atlántica - Universidad Nacional del Comahue - Argentin 2017
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Acceso en línea:http://revele.uncoma.edu.ar/index.php/Sociales/article/view/1390
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id I22-R128-article-1390
record_format ojs
institution Universidad Nacional del Comahue
institution_str I-22
repository_str R-128
container_title_str Repositorio de Revistas Electrónicas REVELE (UNComahue)
language Español
format Artículo revista
topic Coreference
Event capture
Resolution algorithm
Simple Event Model
Linked open data
Correferencia
Captura de eventos
Algoritmos de resolución
Simple Event Model
Datos enlazados
spellingShingle Coreference
Event capture
Resolution algorithm
Simple Event Model
Linked open data
Correferencia
Captura de eventos
Algoritmos de resolución
Simple Event Model
Datos enlazados
Cantamutto, Lucía
Buján, David
Abaitua, Joseba
Díaz Labrador, Jesús Luis
Bermúdez, Josu
Coreference resolution for capture of events
topic_facet Coreference
Event capture
Resolution algorithm
Simple Event Model
Linked open data
Correferencia
Captura de eventos
Algoritmos de resolución
Simple Event Model
Datos enlazados
author Cantamutto, Lucía
Buján, David
Abaitua, Joseba
Díaz Labrador, Jesús Luis
Bermúdez, Josu
author_facet Cantamutto, Lucía
Buján, David
Abaitua, Joseba
Díaz Labrador, Jesús Luis
Bermúdez, Josu
author_sort Cantamutto, Lucía
title Coreference resolution for capture of events
title_short Coreference resolution for capture of events
title_full Coreference resolution for capture of events
title_fullStr Coreference resolution for capture of events
title_full_unstemmed Coreference resolution for capture of events
title_sort coreference resolution for capture of events
description The algorithm (proposed by Raghunathan et al. 2010) sequentially performs a series of pass of recognition, and allows to go incrementally proposing candidates to coreferenced between namedentities in the text. The article briefly presents the work of adapting the algorithm Stanford Multi Pass Sieve and other analysis tools (OpeNer) to texts in Spanish (and other Agerri 2013, Bermúdez2013). The result is a fragmented speech in sentences with full sense, that even being independent of the speech have not lost the discursive framework they belong (to inherit metadatadocumentaries). This can feed the event-based knowledge systems, or be linked to deposits of open data, or published independently (vg. as tweets). As a result, the article offers an example of manual analysis that, in further research, will be automatic.
publisher Centro Universitario Regional Zona Atlántica - Universidad Nacional del Comahue - Argentin
publishDate 2017
url http://revele.uncoma.edu.ar/index.php/Sociales/article/view/1390
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first_indexed 2022-10-04T14:42:58Z
last_indexed 2022-10-04T14:42:58Z
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